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Evoked Potentials
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2022
N Hill J
,
Gupta D
,
Eftekhar A
,
Brangaccio JA
,
Norton JJS
,
McLeod M
, et al.
.
The Evoked Potential Operant Conditioning System (EPOCS): A Research Tool and an Emerging Therapy for Chronic Neuromuscular Disorders.
J Vis Exp. 2022;(186).
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2018
Wolpaw J
,
Bedlack RS
,
Reda DJ
,
Ringer RJ
,
Banks PG
,
Vaughan TM
, et al.
.
Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis
. Neurology [Internet]. 2018;.
http://n.neurology.org/content/neurology/early/2018/06/27/WNL.0000000000005812.full.pdf
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Independent home use of a brain-computer interface by people with amyotrophic lateral sclerosis.pdf
(711.33 KB)
2011
Martens SMM
,
Mooij JM
,
Jeremy Jeremy Hill
,
Farquhar J
,
Schölkopf B
.
A graphical model framework for decoding in the visual ERP-based BCI speller.
Neural Comput [Internet]. 2011;23(1):160-82.
http://www.ncbi.nlm.nih.gov/pubmed/20964540
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A graphical model framework for decoding in the visual ERP-based BCI speller.pdf
(443.32 KB)
Gaona CM
,
Sharma M
,
Freudenberg ZV
,
Breshears J
,
Bundy DT
,
Roland J
, et al.
.
Nonuniform high-gamma (60-500 Hz) power changes dissociate cognitive task and anatomy in human cortex.
J Neurosci [Internet]. 2011;31(6):2091-100.
http://www.ncbi.nlm.nih.gov/pubmed/21307246
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Nonuniform High-Gamma (60-500 Hz) Power Changes Dissociate Cognitive Task and Anatomy in Human Cortex.pdf
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Leuthardt EC
,
Gaona CM
,
Sharma M
,
Szrama N
,
Roland J
,
Freudenberg ZV
, et al.
.
Using the electrocorticographic speech network to control a brain-computer interface in humans.
J Neural Eng [Internet]. 2011;8(3):036004.
http://www.ncbi.nlm.nih.gov/pubmed/21471638
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Using the Electrocorticographic Speech Network to Control a Brain-Computer Interface in Humans.pdf
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2010
Wilson AJ
,
Mellinger J
,
Schalk G
,
Williams JC
.
A procedure for measuring latencies in brain-computer interfaces.
IEEE Trans Biomed Eng [Internet]. 2010;57(7):1785-97.
http://www.ncbi.nlm.nih.gov/pubmed/20403781
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A Procedure for Measuring Latencies in Brain-Computer Interfaces.pdf
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2008
Kipke DR
,
Shain W
,
Buzsáki G
,
Fetz EE
,
Henderson JM
,
Hetke JF
, et al.
.
Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities.
J Neurosci [Internet]. 2008;28(46):11830-8.
http://www.ncbi.nlm.nih.gov/pubmed/19005048?report=abstract
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Advanced Neurotechnologies for Chronic Neural Interfaces - New Horizons and Clinical Opportunities.pdf
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Schalk G
,
Leuthardt EC
,
Brunner P
,
Ojemann JG
,
Gerhardt LA
,
Wolpaw J
.
Real-time detection of event-related brain activity.
Neuroimage [Internet]. 2008;43(2):245-9.
http://www.ncbi.nlm.nih.gov/pubmed/18718544
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Real-time detection of event-related brain activity.pdf
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2007
Krusienski DJ
,
Schalk G
,
McFarland DJ
,
Wolpaw J
.
A µ-rhythm Matched Filter for Continuous Control of a Brain-Computer Interface.
IEEE Trans Biomed Eng [Internet]. 2007;54(2):273-80.
http://www.ncbi.nlm.nih.gov/pubmed/17278584
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A mu-Rhythm Matched Filter for Continuous Control of a Brain-Computer Interface.pdf
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2006
Blankertz B
,
Müller K-R
,
Krusienski DJ
,
Schalk G
,
Wolpaw J
,
Schlögl A
, et al.
.
The BCI competition III: Validating alternative approaches to actual BCI problems.
IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):153-9.
http://www.ncbi.nlm.nih.gov/pubmed/16792282
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The BCI Competition III - Validating Alternative Approaches to Actual BCI Problems.pdf
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Jeremy Jeremy Hill
,
Lal TN
,
Schröder M
,
Hinterberger T
,
Wilhelm B
,
Nijboer F
,
Widman G
, et al.
.
Classifying EEG and ECoG signals without subject training for fast BCI implementation: comparison of nonparalyzed and completely paralyzed subjects.
IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):183-6.
http://www.ncbi.nlm.nih.gov/pubmed/16792289
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Classifying EEG and ECoG signals without subject training for fast BCI implementation comparison of nonparalyzed and completely paralyzed subjects.pdf
(56.97 KB)
Wilson AJ
,
Felton EA
,
Garell CP
,
Schalk G
,
Williams JC
.
ECoG factors underlying multimodal control of a brain-computer interface.
IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):246-50.
http://www.ncbi.nlm.nih.gov/pubmed/16792305
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wilson2006.pdf
(912.69 KB)
Leuthardt EC
,
Miller JW
,
Schalk G
,
Rao RPN
,
Ojemann JG
.
Electrocorticography-based brain computer interface--the Seattle experience.
IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):194-8.
http://www.ncbi.nlm.nih.gov/pubmed/16792292
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Electrocorticography-Based Brain Computer Interface - The Seattle Experience.pdf
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Vaughan TM
,
McFarland DJ
,
Schalk G
,
Sarnacki WA
,
Krusienski DJ
,
Sellers EW
, et al.
.
The Wadsworth BCI Research and Development Program: At Home with BCI.
IEEE Trans Neural Syst Rehabil Eng [Internet]. 2006;14(2):229-33.
http://www.ncbi.nlm.nih.gov/pubmed/16792301
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The Wadsworth BCI research and development program at home with BCI.pdf
(300.71 KB)
2004
Blankertz B
,
Müller K-R
,
Curio G
,
Vaughan TM
,
Schalk G
,
Wolpaw J
, et al.
.
The BCI Competition 2003: Progress and perspectives in detection and discrimination of EEG single trials.
IEEE Trans Biomed Eng. 2004;51(6):1044-51.
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The BCI Compeition 2003 - Progress and Perspectives in Detection and Discrimination of EEG Single Trials.pdf
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Schalk G
,
McFarland DJ
,
Hinterberger T
,
Birbaumer N
,
Wolpaw J
.
BCI2000: a general-purpose brain-computer interface (BCI) system.
IEEE Trans Biomed Eng. 2004;51(6):1034-43.
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BCI2000 - A General-Purpose Brain-Computer Interface (BCI) System.pdf
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Leuthardt EC
,
Schalk G
,
Wolpaw J
,
Ojemann JG
,
Moran D
.
A brain-computer interface using electrocorticographic signals in humans.
J Neural Eng [Internet]. 2004;1(2):63-71.
http://www.ncbi.nlm.nih.gov/pubmed/15876624
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A brain-computer interface using electrocorticographic signals in humans.pdf
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2000
Wolpaw J
,
Birbaumer N
,
Heetderks WJ
,
McFarland DJ
,
Peckham PH
,
Schalk G
, et al.
.
Brain-computer interface technology: a review of the first international meeting.
IEEE Trans Rehabil Eng [Internet]. 2000;8(2):164-73.
http://www.ncbi.nlm.nih.gov/pubmed/10896178
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Brain-Computer Interface Technology - A Review of the First International Meeting.pdf
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